Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Adrian Benton"'
Autor:
John W Ayers, Eric C Leas, Jon-Patrick Allem, Adrian Benton, Mark Dredze, Benjamin M Althouse, Tess B Cruz, Jennifer B Unger
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0170702 (2017)
The reasons for using electronic nicotine delivery systems (ENDS) are poorly understood and are primarily documented by expensive cross-sectional surveys that use preconceived close-ended response options rather than allowing respondents to use their
Externí odkaz:
https://doaj.org/article/e4ed0518c5cc410bb4b323049e823c3f
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
To study how headlines are updated as underlying news stories evolve, we constructed a parallel dataset of simultaneous news body/headline updates. For this, we extracted selected examples from the NewsEdits corpus (Spangher and May, 2021) for our ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d3f37dfdc80fe78e52b6d9f987ec9db
https://doi.org/10.18653/v1/2022.acl-long.446
https://doi.org/10.18653/v1/2022.acl-long.446
Part of speech (POS) tagging is a familiar NLP task. State of the art taggers routinely achieve token-level accuracies of over 97% on news body text, evidence that the problem is well understood. However, the register of English news headlines, "head
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5044f11424781cec896df1898704de63
http://arxiv.org/abs/2109.07483
http://arxiv.org/abs/2109.07483
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32bd5c30fee56dcd8aa9615a01226833
https://doi.org/10.18653/v1/2021.emnlp-main.433
https://doi.org/10.18653/v1/2021.emnlp-main.433
Autor:
Amelia M. Jamison, Lulwah AlKulaib, Adrian Benton, Sandra Crouse Quinn, David A. Broniatowski, Tao Chen, Si Hua Qi, Mark Dredze
Publikováno v:
American Journal of Public Health. 108:1378-1384
Objectives. To understand how Twitter bots and trolls (“bots”) promote online health content. Methods. We compared bots’ to average users’ rates of vaccine-relevant messages, which we collected online from July 2014 through September 2017. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d91b57a14d88d07836753b81dc9d5585
https://doi.org/10.2105/ajph.2018.304567
https://doi.org/10.2105/ajph.2018.304567
A wide variety of consumer data are available, including data that consumers make available online to the public for free. Because online users talk a lot about TV shows and brands online, these me...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31222d992843f88ca048a3786bb4c511
http://hdl.handle.net/11589/177120
http://hdl.handle.net/11589/177120
Autor:
Pallavi Patil, Arpit Singh, Andrew McCallum, Adrian Benton, Amanda Stent, Ronak Zala, Sheshera Mysore, Kriti Myer
Publikováno v:
CoNLL
The official voting records of United States congresspeople are preserved as roll call votes. Prediction of voting behavior of politicians for whom no voting record exists, such as individuals running for office, is important for forecasting key poli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9f5dd0d63f5876b4ff6b250a29375a
https://doi.org/10.18653/v1/k19-1053
https://doi.org/10.18653/v1/k19-1053
Autor:
Mark Dredze, Adrian Benton
Publikováno v:
NAACL-HLT
Dirichlet Multinomial Regression (DMR) and other supervised topic models can incorporate arbitrary document-level features to inform topic priors. However, their ability to model corpora are limited by the representation and selection of these featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53f1948c57cece75249ee0dc89848370
https://doi.org/10.18653/v1/n18-1034
https://doi.org/10.18653/v1/n18-1034
Autor:
Mark Dredze, Adrian Benton
Publikováno v:
NUT@EMNLP
Many social media classification tasks analyze the content of a message, but do not consider the context of the message. For example, in tweet stance classification – where a tweet is categorized according to a viewpoint it espouses – the express
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc0ab74b60b38b4997e2a3a1607d729
https://doi.org/10.18653/v1/w18-6124
https://doi.org/10.18653/v1/w18-6124
Autor:
Eric C. Leas, John W. Ayers, Mark Dredze, Benjamin M. Althouse, Jon-Patrick Allem, Jennifer B. Unger, Adrian Benton, Tess Boley Cruz
Publikováno v:
PloS one, vol 12, iss 3
PLoS ONE, Vol 12, Iss 3, p e0170702 (2017)
PLoS ONE
PLoS ONE, Vol 12, Iss 3, p e0170702 (2017)
PLoS ONE
The reasons for using electronic nicotine delivery systems (ENDS) are poorly understood and are primarily documented by expensive cross-sectional surveys that use preconceived close-ended response options rather than allowing respondents to use their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f9ca55bcd09ab13dce5e9193e5df784
https://escholarship.org/uc/item/32x0c1p7
https://escholarship.org/uc/item/32x0c1p7